Tung-Yen Wu
Papers
2
Total Citations
27
H-Index
2
About
Tung-Yen Wu is a pioneering researcher in social human-robot interaction (HRI), with a focus on enabling robots to navigate and engage in complex, multi-human environments. His work centers on understanding and modeling human social behaviors—such as interruption tolerance and nonverbal social signals—to make robot interactions more natural and context-aware. In his highly cited 2014 paper on personalizing robot behavior for interruption, Wu demonstrated that robots can adapt their approach based on an individual’s historical tolerance, a key step toward socially intelligent machines. His follow-up work on multi-human spatial social patterns further advanced the field by using nonverbal cues like gaze and posture to help robots interpret group dynamics and provide timely, appropriate services. Though his citation counts (20 and 7) reflect a focused, early-career impact, Wu’s contributions are foundational for developing robots that can seamlessly integrate into human-centered spaces, such as offices and homes. His research bridges psychology and robotics, offering practical frameworks for designing machines that respect human social boundaries.
Research Focus
Key Achievements
Top Papers
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